Dell products l.p. (20240244396). UNSUPERVISED PROGRAMMATIC LABELING FOR TRANSITIONAL INTERVAL IN SMART LOGISTICS simplified abstract
Contents
UNSUPERVISED PROGRAMMATIC LABELING FOR TRANSITIONAL INTERVAL IN SMART LOGISTICS
Organization Name
Inventor(s)
[[:Category:Herberth Birck Fr�hlich of Florianópolis (BR)|Herberth Birck Fr�hlich of Florianópolis (BR)]][[Category:Herberth Birck Fr�hlich of Florianópolis (BR)]]
Paulo Abelha Ferreira of Rio de Janeiro (BR)
Vinicius Michel Gottin of Rio de Janeiro (BR)
UNSUPERVISED PROGRAMMATIC LABELING FOR TRANSITIONAL INTERVAL IN SMART LOGISTICS - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240244396 titled 'UNSUPERVISED PROGRAMMATIC LABELING FOR TRANSITIONAL INTERVAL IN SMART LOGISTICS
Abstract: The patent application describes a method for analyzing trajectories of edge devices to identify transitional intervals based on latent space vectors.
- Simplified Explanation:
The patent application outlines a process for analyzing the movement of edge devices within a domain by collecting trajectories and extracting latent space vectors to identify transitional intervals.
- Key Features and Innovation:
- Collecting trajectories from edge devices - Extracting latent space vectors from trajectories - Identifying transitional intervals based on latent space vectors - Labeling transitional intervals to indicate conformity to expected movements
- Potential Applications:
- Smart city planning - Traffic flow optimization - Security monitoring systems
- Problems Solved:
- Efficient analysis of edge device movements - Identification of abnormal device behavior - Enhanced understanding of spatial patterns
- Benefits:
- Improved decision-making based on movement data - Early detection of anomalies - Enhanced security measures
- Commercial Applications:
Title: "Edge Device Movement Analysis for Smart Cities and Security Systems" This technology can be utilized in urban planning, transportation management, and security systems to optimize operations and enhance safety measures.
- Questions about Edge Device Movement Analysis:
1. How does this technology improve security monitoring systems? - This technology enhances security monitoring by providing insights into the movement patterns of edge devices, allowing for early detection of anomalies. 2. What are the potential implications of using this method in smart city planning? - By utilizing this method in smart city planning, authorities can optimize traffic flow, improve urban infrastructure, and enhance overall city efficiency.
Original Abstract Submitted
one example method includes collecting trajectories from each edge device in a group of edge devices, extracting a respective latent space vector from each trajectory, evaluating the latent space vectors to identify a respective set of one or more transitional intervals corresponding to each of the latent space vectors, and labeling the transitional intervals. the trajectories include information about the movement of the edge devices within a domain, and the labels on the transitional intervals indicate whether, and to what extent, the movement of the edge devices conforms to expected movements.
